IT Automation Engineering Intern at Flagship… · Cambridge

Summary: Flagship Pioneering is a bioplatform innovation company that invents and builds platform companies aimed at transforming human health or sustainability. The IT Automation Engineering Intern will work closely with cross-functional stakeholders to design, prototype, and deploy AI-powered solutions to improve business processes. Responsibilities: - Build and deploy automations using low-code platforms (e.g., Zapier, Workato) and, where needed, custom code (e.g., Python, JavaScript) to automate business workflows - Integrate AI models via APIs into automation pipelines - Help deploy and maintain applications on cloud infrastructure (e.g., AWS) - Learn to evaluate different tools and approaches for new projects, considering tradeoffs like speed, complexity, and long-term maintainability - Test your own work thoroughly, with a focus on accuracy and edge cases, especially for data-sensitive workflows - Iterate on proof-of-concept solutions based on real-world performance and feedback from business stakeholders - Keep clear notes on how your solutions are built so others can understand, maintain, and extend them - Support AI tool pilots and help create training materials that make it easier for non-technical users to adopt AI-enabled workflows Required Qualifications: - Current undergraduate student in Computer Science, Information Systems, or a related field - Minimum GPA: 3.0 - Proficiency in at least one programming language (e.g., Python, JavaScript) - Basic understanding of APIs, webhooks, and how web services communicate - Comfort working with AI tools in a development or productivity context - Strong problem-solving skills and a willingness to learn new tools quickly Preferred Qualifications: - Experience with low-code or no-code automation platforms (e.g., Zapier, Make, Power Automate, Workato) - Experience building and deploying applications on cloud platforms (e.g., AWS, Azure, GCP) - Familiarity with version control (Git) and development environments like VS Code Required Skills: Python, JavaScript, AWS Important Skills: Low-code platforms, APIs Nice-to-Have Skills: Learning agility